Collaborative Learning with Limited Interaction - Tight Bounds for Distributed Exploration in Bandits

Collaborative Learning with Limited Interaction - Tight Bounds for Distributed Exploration in Bandits

IEEE FOCS: Foundations of Computer Science via YouTube Direct link

Hardings Prescription

13 of 20

13 of 20

Hardings Prescription

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Collaborative Learning with Limited Interaction - Tight Bounds for Distributed Exploration in Bandits

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  1. 1 Introduction
  2. 2 Challenges in Machine Learning
  3. 3 Problem Statement
  4. 4 Problem Variants
  5. 5 Collaborative Learning Model
  6. 6 Communication Step
  7. 7 Speedup
  8. 8 Tradeoffs between runs and speedup
  9. 9 Results
  10. 10 Summary
  11. 11 Technical Details
  12. 12 NonAdaptive Setting
  13. 13 Hardings Prescription
  14. 14 Pyramid Like Distribution
  15. 15 Technical Challenges
  16. 16 New Ideas
  17. 17 Input Class
  18. 18 Adaptive Case
  19. 19 Other Results
  20. 20 Paper Summary

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